Research methods - Inferential testing Flashcards

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1
Q

How do you see if our result is significant?

A
  • Work out the probability that what we have found is due to chance.
  • This is expressed as a value, p.
  • The smaller the value of p is, the more significant your results are.
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2
Q

What are the steps to find out if your data is significant?

A
  • Collect your data
  • Carry out a statistical test
  • This gives you the calculated value
  • Compare calculated value with the critical value in a statistics table
  • Read the table to see if your data is significant, and if so, what level of significance (p)
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3
Q

In psychology, what percentage do we usually aim to be sure that our results are due to a real effect?

A
  • 95% sure
  • 5% probability that the null is true
  • This is expressed as p=<0.05. This is known as the significance level.
  • So p=<0.05 means there is an equal to or less than 5% probability that our results are due to chance.
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4
Q

What does it mean by ‘the results were significant at p<0.05’?

A
  • This means that the result is significant at 0.05 level

- This means there is a less than 5% probability that the difference/relationship found was due to chance

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5
Q

What is a type 1 error?

A

This is a false positive.

It is accepting the alternate when we should have accepted the null.

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6
Q

What is a type 2 error?

A

This is a false negative.

It is accepting the null when we should have rejected it.

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7
Q

Why are statistical tests used in psychological research?

A

Statistical tests are used to determine the likelihood that the effect they have found is due to chance by allowing a significance level to be determined.

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8
Q

What do statistical tests for correlations give us?

A

A correlation coefficient

calculated value

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9
Q

What is the sign test?

A
  • A test of difference
  • Use it for nominal data
  • Used to analyse repeated measures or matched pairs design (related)
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10
Q

How do you carry out the sign test?

A
  • For each participant, note whether the sign is +, - or = depending on whether the score in each condition goes down, up or stays the same.
  • Count N, which is the number of participants, excluding those with equal (=) scores.
  • Count the number of the least frequent sign (- or +).
  • This is s.
  • Use the sign test table
  • See whether the results are significant by seeing the number of N, whether the hypothesis is 1 or 2 tailed and at what level of significance it is at.
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11
Q

What test is used if:

  • It is a test of difference
  • It is unrelated
  • It uses nominal data?
A

Chi-squared

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12
Q

What test is used if:

  • It is a test of difference
  • It is related
  • It uses nominal data?
A

Sign test

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13
Q

What test is used if:

  • It is a test of difference
  • It is unrelated
  • It uses ordinal data?
A

Mann-Whitney

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14
Q

What test is used if:

  • It is a test of difference
  • It is related
  • It uses ordinal data?
A

Wilcoxon

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15
Q

What test is used if:

  • It is a test of difference
  • It is unrelated
  • It uses interval data?
A

Unrelated t-test

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16
Q

What test is used if:

  • It is a test of difference
  • It is related
  • It uses interval data?
A

Related t-test

17
Q

What test is used if:

  • It is a test of correlation
  • It uses nominal data?
A

Chi-squared

18
Q

What test is used if:

  • It is a test of correlation
  • It uses ordinal data?
A

Spearman’s rho

19
Q

What test is used if:

  • It is a test of correlation
  • It uses interval data?
A

Pearson’s r